Sagemaker-python-sdk: Add Tensorboard API to Pytorch

Created on 15 Oct 2019  路  2Comments  路  Source: aws/sagemaker-python-sdk

Reference: MLFW-2707

Tensorboard API is attached to the tensorflow SDK while in reality it could work for Pytorch as well. We would need to make estimator not required in the api:
https://github.com/aws/sagemaker-python-sdk/blob/0e97997c88101b7f5603f0a8657e6f6a94d2784e/src/sagemaker/tensorflow/estimator.py#L56
and pass the path to the logdir we would write to in the local filesystem.

contributions welcome feature request

Most helpful comment

Hello @tanguycdls,

Thank you for the awesome suggestion. I'll add this into our backlog, which we are always reprioritizing based on customer feedback.

Reference: MLFW-2707

Thanks!

All 2 comments

Hello @tanguycdls,

Thank you for the awesome suggestion. I'll add this into our backlog, which we are always reprioritizing based on customer feedback.

Reference: MLFW-2707

Thanks!

This would be so useful! I would value this feature immensely to improving my workflow and efficiency.

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